Overview

Brought to you by YData

Dataset statistics

Number of variables	22
Number of observations	282
Missing cells	712
Missing cells (%)	11.5%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	226.6 KiB
Average record size in memory	822.9 B

Variable types

Numeric	8
Text	4
Unsupported	2
URL	1
Categorical	5
DateTime	2

Alerts

`DIRECTION` is highly overall correlated with `ID` and 2 other fields	High correlation
`DISTRICT` is highly overall correlated with `DISTRICT.1` and 5 other fields	High correlation
`DISTRICT.1` is highly overall correlated with `DISTRICT` and 6 other fields	High correlation
`ID` is highly overall correlated with `DIRECTION` and 4 other fields	High correlation
`LAT` is highly overall correlated with `DISTRICT` and 3 other fields	High correlation
`LONG` is highly overall correlated with `DISTRICT` and 3 other fields	High correlation
`NEIGHBOURHOOD` is highly overall correlated with `DISTRICT` and 6 other fields	High correlation
`SEQ NUMBER` is highly overall correlated with `DIRECTION` and 2 other fields	High correlation
`STATUS` is highly overall correlated with `DIRECTION`	High correlation
`X` is highly overall correlated with `DISTRICT` and 3 other fields	High correlation
`Y` is highly overall correlated with `DISTRICT` and 3 other fields	High correlation
`YEAR_PLACEMENT` is highly overall correlated with `ID` and 1 other fields	High correlation
`DIRECTION` is highly imbalanced (59.9%)	Imbalance
`STATUS` is highly imbalanced (96.6%)	Imbalance
`DESCRIPTION` has 282 (100.0%) missing values	Missing
`TEXT_ON_THE_STONE` has 282 (100.0%) missing values	Missing
`YEAR_PLACEMENT` has 12 (4.3%) missing values	Missing
`BWT_NUMMER` has 13 (4.6%) missing values	Missing
`NEIGHBOURHOOD` has 61 (21.6%) missing values	Missing
`DISTRICT.1` has 61 (21.6%) missing values	Missing
`SEQ NUMBER` is uniformly distributed	Uniform
`ID` has unique values	Unique
`SEQ NUMBER` has unique values	Unique
`PHOTO FILE` has unique values	Unique
`DESCRIPTION` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`TEXT_ON_THE_STONE` is an unsupported type, check if it needs cleaning or further analysis	Unsupported

Reproduction

Analysis started	2025-09-09 13:37:45.372331
Analysis finished	2025-09-09 13:37:50.281405
Duration	4.91 seconds
Software version	ydata-profiling vv4.16.1
Download configuration	config.json

ID
Real number (ℝ)

High correlation Unique

Distinct	282
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	6097584.9

Minimum	6009832
Maximum	6905016
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	2.3 KiB

Quantile statistics

Minimum	6009832
5-th percentile	6009846
Q1	6009902.2
median	6009973.5
Q3	6010044.8
95-th percentile	6905002
Maximum	6905016
Range	895184
Interquartile range (IQR)	142.5

Descriptive statistics

Standard deviation	249702.09
Coefficient of variation (CV)	0.040950983
Kurtosis	6.519764
Mean	6097584.9
Median Absolute Deviation (MAD)	71.5
Skewness	2.8756472
Sum	1.7195189 × 10⁹
Variance	6.2351136 × 10¹⁰
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
6905016	1	0.4%
6009918	1	0.4%
6009919	1	0.4%
6009920	1	0.4%
6009921	1	0.4%
6009922	1	0.4%
6009923	1	0.4%
6009924	1	0.4%
6009925	1	0.4%
6009926	1	0.4%
Other values (272)	272	96.5%

Value	Count	Frequency (%)
6009832	1	0.4%
6009833	1	0.4%
6009834	1	0.4%
6009835	1	0.4%
6009836	1	0.4%
6009837	1	0.4%
6009838	1	0.4%
6009839	1	0.4%
6009840	1	0.4%
6009841	1	0.4%

Value	Count	Frequency (%)
6905016	1	0.4%
6905015	1	0.4%
6905014	1	0.4%
6905013	1	0.4%
6905012	1	0.4%
6905011	1	0.4%
6905010	1	0.4%
6905009	1	0.4%
6905008	1	0.4%
6905007	1	0.4%

MANAGEMENT AREA
Text

Distinct	193
Distinct (%)	68.4%
Missing	0
Missing (%)	0.0%
Memory size	20.3 KiB

Length

Max length	28
Median length	22
Mean length	15.241135
Min length	4

Characters and Unicode

Total characters	4298
Distinct characters	54
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	140 ?
Unique (%)	49.6%

Sample

1st row	Juliana van Stolberglaan
2nd row	Juliana van Stolberglaan
3rd row	Keizerstraat
4th row	Kornoeljestraat
5th row	Kortrijksestraat

Value	Count	Frequency (%)
van	55	12.9%
laan	8	1.9%
de	7	1.6%
zwetstraat	6	1.4%
der	6	1.4%
jan	6	1.4%
goudsbloemlaan	5	1.2%
pletterijstraat	5	1.2%
weteringkade	5	1.2%
stevinstraat	4	0.9%
Other values (226)	320	74.9%

Most occurring characters

Value	Count	Frequency (%)
a	709	16.5%
t	479	11.1%
e	424	9.9%
r	368	8.6%
s	319	7.4%
n	313	7.3%
i	170	4.0%
l	164	3.8%
	145	3.4%
o	135	3.1%
Other values (44)	1072	24.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	4298	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
a	709	16.5%
t	479	11.1%
e	424	9.9%
r	368	8.6%
s	319	7.4%
n	313	7.3%
i	170	4.0%
l	164	3.8%
	145	3.4%
o	135	3.1%
Other values (44)	1072	24.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	4298	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
a	709	16.5%
t	479	11.1%
e	424	9.9%
r	368	8.6%
s	319	7.4%
n	313	7.3%
i	170	4.0%
l	164	3.8%
	145	3.4%
o	135	3.1%
Other values (44)	1072	24.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	4298	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
a	709	16.5%
t	479	11.1%
e	424	9.9%
r	368	8.6%
s	319	7.4%
n	313	7.3%
i	170	4.0%
l	164	3.8%
	145	3.4%
o	135	3.1%
Other values (44)	1072	24.9%

SEQ NUMBER
Real number (ℝ)

High correlation Uniform Unique

Distinct	282
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	143.16667

Minimum	1
Maximum	285
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	2.3 KiB

Quantile statistics

Minimum	1
5-th percentile	15.05
Q1	72.25
median	143.5
Q3	214.75
95-th percentile	270.95
Maximum	285
Range	284
Interquartile range (IQR)	142.5

Descriptive statistics

Standard deviation	82.657058
Coefficient of variation (CV)	0.57734848
Kurtosis	-1.2049737
Mean	143.16667
Median Absolute Deviation (MAD)	71.5
Skewness	-0.0043026319
Sum	40373
Variance	6832.1892
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
285	1	0.4%
88	1	0.4%
89	1	0.4%
90	1	0.4%
91	1	0.4%
92	1	0.4%
93	1	0.4%
94	1	0.4%
95	1	0.4%
96	1	0.4%
Other values (272)	272	96.5%

Value	Count	Frequency (%)
1	1	0.4%
2	1	0.4%
3	1	0.4%
4	1	0.4%
5	1	0.4%
6	1	0.4%
7	1	0.4%
8	1	0.4%
9	1	0.4%
10	1	0.4%

Value	Count	Frequency (%)
285	1	0.4%
284	1	0.4%
283	1	0.4%
282	1	0.4%
281	1	0.4%
280	1	0.4%
279	1	0.4%
278	1	0.4%
277	1	0.4%
276	1	0.4%

HOUSE NUMBER
Text

Distinct	164
Distinct (%)	58.2%
Missing	0
Missing (%)	0.0%
Memory size	16.5 KiB

Length

Max length	6
Median length	2
Mean length	2.3439716
Min length	1

Characters and Unicode

Total characters	661
Distinct characters	17
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	99 ?
Unique (%)	35.1%

Sample

1st row	352
2nd row	368
3rd row	65
4th row	4
5th row	41

Value	Count	Frequency (%)
8	6	2.1%
3	6	2.1%
55	5	1.8%
41	5	1.8%
26	5	1.8%
95	4	1.4%
5	4	1.4%
33	4	1.4%
61	4	1.4%
29	4	1.4%
Other values (154)	237	83.5%

Most occurring characters

Value	Count	Frequency (%)
1	128	19.4%
2	93	14.1%
3	70	10.6%
6	68	10.3%
5	67	10.1%
4	56	8.5%
0	44	6.7%
7	43	6.5%
9	37	5.6%
8	28	4.2%
Other values (7)	27	4.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	661	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
1	128	19.4%
2	93	14.1%
3	70	10.6%
6	68	10.3%
5	67	10.1%
4	56	8.5%
0	44	6.7%
7	43	6.5%
9	37	5.6%
8	28	4.2%
Other values (7)	27	4.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	661	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
1	128	19.4%
2	93	14.1%
3	70	10.6%
6	68	10.3%
5	67	10.1%
4	56	8.5%
0	44	6.7%
7	43	6.5%
9	37	5.6%
8	28	4.2%
Other values (7)	27	4.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	661	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
1	128	19.4%
2	93	14.1%
3	70	10.6%
6	68	10.3%
5	67	10.1%
4	56	8.5%
0	44	6.7%
7	43	6.5%
9	37	5.6%
8	28	4.2%
Other values (7)	27	4.1%

DESCRIPTION
Unsupported

Missing Rejected Unsupported

Missing	282
Missing (%)	100.0%
Memory size	2.3 KiB

PHOTO FILE
URL

Unique

Distinct	282
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	31.4 KiB

https://denhaag.gisib.nl/fotos/Stolpersteine/Foto/285.jpg	1
https://denhaag.gisib.nl/fotos/Stolpersteine/Foto/88.jpg	1
https://denhaag.gisib.nl/fotos/Stolpersteine/Foto/89.jpg	1
https://denhaag.gisib.nl/fotos/Stolpersteine/Foto/90.jpg	1
https://denhaag.gisib.nl/fotos/Stolpersteine/Foto/91.jpg	1
Other values (277)	277

Value	Count	Frequency (%)
https://denhaag.gisib.nl/fotos/Stolpersteine/Foto/285.jpg	1	0.4%
https://denhaag.gisib.nl/fotos/Stolpersteine/Foto/88.jpg	1	0.4%
https://denhaag.gisib.nl/fotos/Stolpersteine/Foto/89.jpg	1	0.4%
https://denhaag.gisib.nl/fotos/Stolpersteine/Foto/90.jpg	1	0.4%
https://denhaag.gisib.nl/fotos/Stolpersteine/Foto/91.jpg	1	0.4%
https://denhaag.gisib.nl/fotos/Stolpersteine/Foto/92.jpg	1	0.4%
https://denhaag.gisib.nl/fotos/Stolpersteine/Foto/93.jpg	1	0.4%
https://denhaag.gisib.nl/fotos/Stolpersteine/Foto/94.jpg	1	0.4%
https://denhaag.gisib.nl/fotos/Stolpersteine/Foto/95.jpg	1	0.4%
https://denhaag.gisib.nl/fotos/Stolpersteine/Foto/96.jpg	1	0.4%
Other values (272)	272	96.5%

Value	Count	Frequency (%)
https	282	100.0%

Value	Count	Frequency (%)
denhaag.gisib.nl	282	100.0%

Value	Count	Frequency (%)
/fotos/Stolpersteine/Foto/285.jpg	1	0.4%
/fotos/Stolpersteine/Foto/88.jpg	1	0.4%
/fotos/Stolpersteine/Foto/89.jpg	1	0.4%
/fotos/Stolpersteine/Foto/90.jpg	1	0.4%
/fotos/Stolpersteine/Foto/91.jpg	1	0.4%
/fotos/Stolpersteine/Foto/92.jpg	1	0.4%
/fotos/Stolpersteine/Foto/93.jpg	1	0.4%
/fotos/Stolpersteine/Foto/94.jpg	1	0.4%
/fotos/Stolpersteine/Foto/95.jpg	1	0.4%
/fotos/Stolpersteine/Foto/96.jpg	1	0.4%
Other values (272)	272	96.5%

Value	Count	Frequency (%)
	282	100.0%

Value	Count	Frequency (%)
	282	100.0%

TEXT_ON_THE_STONE
Unsupported

Missing Rejected Unsupported

Missing	282
Missing (%)	100.0%
Memory size	2.3 KiB

NAMES_OF THOSE INVOLVED
Text

Distinct	269
Distinct (%)	95.4%
Missing	0
Missing (%)	0.0%
Memory size	26.0 KiB

Length

Max length	109
Median length	48
Mean length	33.166667
Min length	9

Characters and Unicode

Total characters	9353
Distinct characters	77
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	257 ?
Unique (%)	91.1%

Sample

1st row	Benjamin van Dantzig (joodsmonument.nl)
2nd row	Gerson de Levie (joodsmonument.nl)
3rd row	Frederik Alter (joodsmonument.nl)
4th row	Judica Mozes (joodsmonument.nl)
5th row	Hans Paradies (joodsmonument.nl)

Value	Count	Frequency (%)
joodsmonument.nl	187	18.6%
van	49	4.9%
de	24	2.4%
	16	1.6%
oorlogsgravenstichting	11	1.1%
joseph	9	0.9%
benjamin	8	0.8%
cohen	8	0.8%
mozes	8	0.8%
salomon	8	0.8%
Other values (454)	677	67.4%

Most occurring characters

Value	Count	Frequency (%)
n	987	10.6%
o	855	9.1%
e	846	9.0%
	723	7.7%
a	488	5.2%
m	480	5.1%
s	446	4.8%
l	406	4.3%
r	393	4.2%
t	385	4.1%
Other values (67)	3344	35.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	9353	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
n	987	10.6%
o	855	9.1%
e	846	9.0%
	723	7.7%
a	488	5.2%
m	480	5.1%
s	446	4.8%
l	406	4.3%
r	393	4.2%
t	385	4.1%
Other values (67)	3344	35.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	9353	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
n	987	10.6%
o	855	9.1%
e	846	9.0%
	723	7.7%
a	488	5.2%
m	480	5.1%
s	446	4.8%
l	406	4.3%
r	393	4.2%
t	385	4.1%
Other values (67)	3344	35.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	9353	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
n	987	10.6%
o	855	9.1%
e	846	9.0%
	723	7.7%
a	488	5.2%
m	480	5.1%
s	446	4.8%
l	406	4.3%
r	393	4.2%
t	385	4.1%
Other values (67)	3344	35.8%

NUMBER
Real number (ℝ)

Distinct	9
Distinct (%)	3.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.1985816

Minimum	0
Maximum	8
Zeros	2
Zeros (%)	0.7%
Negative	0
Negative (%)	0.0%
Memory size	2.3 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	1
median	2
Q3	3
95-th percentile	5
Maximum	8
Range	8
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.4720159
Coefficient of variation (CV)	0.6695298
Kurtosis	1.896067
Mean	2.1985816
Median Absolute Deviation (MAD)	1
Skewness	1.3788318
Sum	620
Variance	2.1668307
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=9)

Value	Count	Frequency (%)
1	121	42.9%
2	69	24.5%
3	36	12.8%
4	34	12.1%
5	11	3.9%
7	4	1.4%
6	3	1.1%
8	2	0.7%
0	2	0.7%

Value	Count	Frequency (%)
0	2	0.7%
1	121	42.9%
2	69	24.5%
3	36	12.8%
4	34	12.1%
5	11	3.9%
6	3	1.1%
7	4	1.4%
8	2	0.7%

Value	Count	Frequency (%)
8	2	0.7%
7	4	1.4%
6	3	1.1%
5	11	3.9%
4	34	12.1%
3	36	12.8%
2	69	24.5%
1	121	42.9%
0	2	0.7%

YEAR_PLACEMENT
Real number (ℝ)

High correlation Missing

Distinct	10
Distinct (%)	3.7%
Missing	12
Missing (%)	4.3%
Infinite	0
Infinite (%)	0.0%
Mean	2021.5519

Minimum	2013
Maximum	2025
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	2.3 KiB

Quantile statistics

Minimum	2013
5-th percentile	2016
Q1	2019
median	2022
Q3	2024
95-th percentile	2025
Maximum	2025
Range	12
Interquartile range (IQR)	5

Descriptive statistics

Standard deviation	2.8758539
Coefficient of variation (CV)	0.0014225971
Kurtosis	-0.0090702905
Mean	2021.5519
Median Absolute Deviation (MAD)	2
Skewness	-0.94345249
Sum	545819
Variance	8.2705356
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
2022	79	28.0%
2024	64	22.7%
2023	27	9.6%
2025	24	8.5%
2019	23	8.2%
2018	19	6.7%
2017	17	6.0%
2016	9	3.2%
2013	4	1.4%
2015	4	1.4%
(Missing)	12	4.3%

Value	Count	Frequency (%)
2013	4	1.4%
2015	4	1.4%
2016	9	3.2%
2017	17	6.0%
2018	19	6.7%
2019	23	8.2%
2022	79	28.0%
2023	27	9.6%
2024	64	22.7%
2025	24	8.5%

Value	Count	Frequency (%)
2025	24	8.5%
2024	64	22.7%
2023	27	9.6%
2022	79	28.0%
2019	23	8.2%
2018	19	6.7%
2017	17	6.0%
2016	9	3.2%
2015	4	1.4%
2013	4	1.4%

BWT_NUMMER
Text

Missing

Distinct	243
Distinct (%)	90.3%
Missing	13
Missing (%)	4.6%
Memory size	18.9 KiB

Length

Max length	15
Median length	14
Mean length	13.063197
Min length	1

Characters and Unicode

Total characters	3514
Distinct characters	16
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	235 ?
Unique (%)	87.4%

Sample

1st row	BWT-01373GGB12
2nd row	BWT-00109GGB13
3rd row	BWT-00185GGB17
4th row	BWT-00274GGB20
5th row	BWT-00299GGB19

Value	Count	Frequency (%)
	18	6.7%
bwt-00637ggb16	3	1.1%
bwt-00658ggb16	3	1.1%
bwt-00169ggb17	2	0.7%
bwt-00640ggb16	2	0.7%
bwt-00840ggb19	2	0.7%
bwt-00196ggb17	2	0.7%
bwt-00050ggb19	2	0.7%
bwt-00732ggb18	1	0.4%
bwt-00274ggb20	1	0.4%
Other values (233)	233	86.6%

Most occurring characters

Value	Count	Frequency (%)
B	499	14.2%
G	498	14.2%
0	470	13.4%
2	339	9.6%
1	282	8.0%
-	269	7.7%
T	251	7.1%
W	251	7.1%
6	118	3.4%
3	113	3.2%
Other values (6)	424	12.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	3514	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
B	499	14.2%
G	498	14.2%
0	470	13.4%
2	339	9.6%
1	282	8.0%
-	269	7.7%
T	251	7.1%
W	251	7.1%
6	118	3.4%
3	113	3.2%
Other values (6)	424	12.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	3514	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
B	499	14.2%
G	498	14.2%
0	470	13.4%
2	339	9.6%
1	282	8.0%
-	269	7.7%
T	251	7.1%
W	251	7.1%
6	118	3.4%
3	113	3.2%
Other values (6)	424	12.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	3514	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
B	499	14.2%
G	498	14.2%
0	470	13.4%
2	339	9.6%
1	282	8.0%
-	269	7.7%
T	251	7.1%
W	251	7.1%
6	118	3.4%
3	113	3.2%
Other values (6)	424	12.1%

DIRECTION
Categorical

High correlation Imbalance

Distinct	3
Distinct (%)	1.1%
Missing	1
Missing (%)	0.4%
Memory size	17.2 KiB

Haaks	242
haaks	36
Linksom	3

Length

Max length	7
Median length	5
Mean length	5.0213523
Min length	5

Characters and Unicode

Total characters	1411
Distinct characters	10
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Haaks
2nd row	Haaks
3rd row	Haaks
4th row	Haaks
5th row	Haaks

Common Values

Value	Count	Frequency (%)
Haaks	242	85.8%
haaks	36	12.8%
Linksom	3	1.1%
(Missing)	1	0.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
haaks	278	98.9%
linksom	3	1.1%

Most occurring characters

Value	Count	Frequency (%)
a	556	39.4%
k	281	19.9%
s	281	19.9%
H	242	17.2%
h	36	2.6%
L	3	0.2%
i	3	0.2%
n	3	0.2%
o	3	0.2%
m	3	0.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1411	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
a	556	39.4%
k	281	19.9%
s	281	19.9%
H	242	17.2%
h	36	2.6%
L	3	0.2%
i	3	0.2%
n	3	0.2%
o	3	0.2%
m	3	0.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1411	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
a	556	39.4%
k	281	19.9%
s	281	19.9%
H	242	17.2%
h	36	2.6%
L	3	0.2%
i	3	0.2%
n	3	0.2%
o	3	0.2%
m	3	0.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1411	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
a	556	39.4%
k	281	19.9%
s	281	19.9%
H	242	17.2%
h	36	2.6%
L	3	0.2%
i	3	0.2%
n	3	0.2%
o	3	0.2%
m	3	0.2%

DATE_ACQUISITION
Date

Distinct	8
Distinct (%)	2.8%
Missing	0
Missing (%)	0.0%
Memory size	2.3 KiB

Minimum	2023-11-01 00:00:00
Maximum	2025-04-24 00:00:00
Invalid dates	0
Invalid dates (%)	0.0%

Histogram with fixed size bins (bins=8)

NEIGHBOURHOOD
Categorical

High correlation Missing

Distinct	46
Distinct (%)	20.8%
Missing	61
Missing (%)	21.6%
Memory size	19.0 KiB

Belgisch Park	25
Bezuidenhout-oost	25
Statenkwartier	20
Bezuidenhout-midden	16
Rivierenbuurt-noord	13
Other values (41)	122

Length

Max length	23
Median length	20
Mean length	15.076923
Min length	6

Characters and Unicode

Total characters	3332
Distinct characters	43
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	15 ?
Unique (%)	6.8%

Sample

1st row	Bezuidenhout-oost
2nd row	Bezuidenhout-oost
3rd row	Scheveningen Badplaats
4th row	Eykenduinen
5th row	Belgisch Park

Common Values

Value	Count	Frequency (%)
Belgisch Park	25	8.9%
Bezuidenhout-oost	25	8.9%
Statenkwartier	20	7.1%
Bezuidenhout-midden	16	5.7%
Rivierenbuurt-noord	13	4.6%
Huygenspark	10	3.5%
Zuidwal	8	2.8%
Laakkwartier-oost	8	2.8%
Scheveningen Badplaats	7	2.5%
Bloemenbuurt-oost	6	2.1%
Other values (36)	83	29.4%
(Missing)	61	21.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
belgisch	25	9.3%
park	25	9.3%
bezuidenhout-oost	25	9.3%
statenkwartier	20	7.5%
bezuidenhout-midden	16	6.0%
rivierenbuurt-noord	13	4.9%
e.o	12	4.5%
huygenspark	10	3.7%
laakkwartier-oost	8	3.0%
zuidwal	8	3.0%
Other values (42)	106	39.6%

Most occurring characters

Value	Count	Frequency (%)
e	384	11.5%
t	248	7.4%
r	239	7.2%
i	231	6.9%
o	227	6.8%
u	220	6.6%
n	218	6.5%
a	170	5.1%
d	144	4.3%
s	139	4.2%
Other values (33)	1112	33.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	3332	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	384	11.5%
t	248	7.4%
r	239	7.2%
i	231	6.9%
o	227	6.8%
u	220	6.6%
n	218	6.5%
a	170	5.1%
d	144	4.3%
s	139	4.2%
Other values (33)	1112	33.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	3332	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	384	11.5%
t	248	7.4%
r	239	7.2%
i	231	6.9%
o	227	6.8%
u	220	6.6%
n	218	6.5%
a	170	5.1%
d	144	4.3%
s	139	4.2%
Other values (33)	1112	33.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	3332	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	384	11.5%
t	248	7.4%
r	239	7.2%
i	231	6.9%
o	227	6.8%
u	220	6.6%
n	218	6.5%
a	170	5.1%
d	144	4.3%
s	139	4.2%
Other values (33)	1112	33.4%

DISTRICT
Categorical

High correlation

Distinct	7
Distinct (%)	2.5%
Missing	0
Missing (%)	0.0%
Memory size	18.4 KiB

Haagse Hout	75
Centrum	74
Scheveningen	68
Segbroek	41
Laak	13
Other values (2)	11

Length

Max length	12
Median length	11
Mean length	9.2943262
Min length	4

Characters and Unicode

Total characters	2621
Distinct characters	24
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Haagse Hout
2nd row	Haagse Hout
3rd row	Scheveningen
4th row	Segbroek
5th row	Scheveningen

Common Values

Value	Count	Frequency (%)
Haagse Hout	75	26.6%
Centrum	74	26.2%
Scheveningen	68	24.1%
Segbroek	41	14.5%
Laak	13	4.6%
Escamp	7	2.5%
Loosduinen	4	1.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
haagse	75	21.0%
hout	75	21.0%
centrum	74	20.7%
scheveningen	68	19.0%
segbroek	41	11.5%
laak	13	3.6%
escamp	7	2.0%
loosduinen	4	1.1%

Most occurring characters

Value	Count	Frequency (%)
e	439	16.7%
n	286	10.9%
g	184	7.0%
a	183	7.0%
u	153	5.8%
H	150	5.7%
t	149	5.7%
o	124	4.7%
r	115	4.4%
S	109	4.2%
Other values (14)	729	27.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	2621	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	439	16.7%
n	286	10.9%
g	184	7.0%
a	183	7.0%
u	153	5.8%
H	150	5.7%
t	149	5.7%
o	124	4.7%
r	115	4.4%
S	109	4.2%
Other values (14)	729	27.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	2621	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	439	16.7%
n	286	10.9%
g	184	7.0%
a	183	7.0%
u	153	5.8%
H	150	5.7%
t	149	5.7%
o	124	4.7%
r	115	4.4%
S	109	4.2%
Other values (14)	729	27.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	2621	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	439	16.7%
n	286	10.9%
g	184	7.0%
a	183	7.0%
u	153	5.8%
H	150	5.7%
t	149	5.7%
o	124	4.7%
r	115	4.4%
S	109	4.2%
Other values (14)	729	27.8%

STATUS
Categorical

High correlation Imbalance

Distinct	2
Distinct (%)	0.7%
Missing	0
Missing (%)	0.0%
Memory size	17.5 KiB

Actief	281
Non Actief	1

Length

Max length	10
Median length	6
Mean length	6.0141844
Min length	6

Characters and Unicode

Total characters	1696
Distinct characters	10
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	0.4%

Sample

1st row	Actief
2nd row	Actief
3rd row	Actief
4th row	Actief
5th row	Actief

Common Values

Value	Count	Frequency (%)
Actief	281	99.6%
Non Actief	1	0.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
actief	282	99.6%
non	1	0.4%

Most occurring characters

Value	Count	Frequency (%)
A	282	16.6%
c	282	16.6%
t	282	16.6%
i	282	16.6%
e	282	16.6%
f	282	16.6%
N	1	0.1%
o	1	0.1%
n	1	0.1%
	1	0.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1696	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
A	282	16.6%
c	282	16.6%
t	282	16.6%
i	282	16.6%
e	282	16.6%
f	282	16.6%
N	1	0.1%
o	1	0.1%
n	1	0.1%
	1	0.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1696	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
A	282	16.6%
c	282	16.6%
t	282	16.6%
i	282	16.6%
e	282	16.6%
f	282	16.6%
N	1	0.1%
o	1	0.1%
n	1	0.1%
	1	0.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1696	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
A	282	16.6%
c	282	16.6%
t	282	16.6%
i	282	16.6%
e	282	16.6%
f	282	16.6%
N	1	0.1%
o	1	0.1%
n	1	0.1%
	1	0.1%

LASTUPDATE
Date

Distinct	95
Distinct (%)	33.7%
Missing	0
Missing (%)	0.0%
Memory size	2.3 KiB

Minimum	2024-05-15 11:56:37
Maximum	2025-04-30 09:26:41
Invalid dates	0
Invalid dates (%)	0.0%

Histogram with fixed size bins (bins=50)

DISTRICT.1
Categorical

High correlation Missing

Distinct	24
Distinct (%)	10.9%
Missing	61
Missing (%)	21.6%
Memory size	19.0 KiB

Bezuidenhout	44
Stationsbuurt	26
Belgisch Park	25
Geuzen- en Statenkwartier	22
Centrum	12
Other values (19)	92

Length

Max length	25
Median length	23
Mean length	15.036199
Min length	7

Characters and Unicode

Total characters	3323
Distinct characters	40
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	5 ?
Unique (%)	2.3%

Sample

1st row	Bezuidenhout
2nd row	Bezuidenhout
3rd row	Scheveningen
4th row	Vruchtenbuurt
5th row	Belgisch Park

Common Values

Value	Count	Frequency (%)
Bezuidenhout	44	15.6%
Stationsbuurt	26	9.2%
Belgisch Park	25	8.9%
Geuzen- en Statenkwartier	22	7.8%
Centrum	12	4.3%
Scheveningen	10	3.5%
Schildersbuurt	10	3.5%
Benoordenhout	10	3.5%
Bomen- en Bloemenbuurt	10	3.5%
Laakkwartier en Spoorwijk	9	3.2%
Other values (14)	43	15.2%
(Missing)	61	21.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
en	49	14.2%
bezuidenhout	44	12.8%
stationsbuurt	26	7.6%
belgisch	25	7.3%
park	25	7.3%
geuzen	22	6.4%
statenkwartier	22	6.4%
centrum	12	3.5%
scheveningen	10	2.9%
schildersbuurt	10	2.9%
Other values (22)	99	28.8%

Most occurring characters

Value	Count	Frequency (%)
e	459	13.8%
t	287	8.6%
n	282	8.5%
u	265	8.0%
r	248	7.5%
i	189	5.7%
o	167	5.0%
a	152	4.6%
	123	3.7%
h	116	3.5%
Other values (30)	1035	31.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	3323	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	459	13.8%
t	287	8.6%
n	282	8.5%
u	265	8.0%
r	248	7.5%
i	189	5.7%
o	167	5.0%
a	152	4.6%
	123	3.7%
h	116	3.5%
Other values (30)	1035	31.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	3323	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	459	13.8%
t	287	8.6%
n	282	8.5%
u	265	8.0%
r	248	7.5%
i	189	5.7%
o	167	5.0%
a	152	4.6%
	123	3.7%
h	116	3.5%
Other values (30)	1035	31.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	3323	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	459	13.8%
t	287	8.6%
n	282	8.5%
u	265	8.0%
r	248	7.5%
i	189	5.7%
o	167	5.0%
a	152	4.6%
	123	3.7%
h	116	3.5%
Other values (30)	1035	31.1%

X
Real number (ℝ)

High correlation

Distinct	268
Distinct (%)	95.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	80816.608

Minimum	75569.44
Maximum	84606.62
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	2.3 KiB

Quantile statistics

Minimum	75569.44
5-th percentile	77686.592
Q1	79108.823
median	81218.13
Q3	82394.23
95-th percentile	83543.141
Maximum	84606.62
Range	9037.18
Interquartile range (IQR)	3285.4075

Descriptive statistics

Standard deviation	1942.0301
Coefficient of variation (CV)	0.024030087
Kurtosis	-0.95019059
Mean	80816.608
Median Absolute Deviation (MAD)	1589.305
Skewness	-0.26347816
Sum	22790283
Variance	3771481.1
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
77852.92	3	1.1%
81416.35	2	0.7%
82458.1	2	0.7%
83409.26	2	0.7%
79115.97	2	0.7%
83730.04	2	0.7%
83556.17	2	0.7%
78682.5	2	0.7%
79106.44	2	0.7%
78192.1	2	0.7%
Other values (258)	261	92.6%

Value	Count	Frequency (%)
75569.44	1	0.4%
75607.73	1	0.4%
76190.76	1	0.4%
76891.48	1	0.4%
76914.46	1	0.4%
77087.78	1	0.4%
77250.22	1	0.4%
77324.46	1	0.4%
77488.97	1	0.4%
77498.71	1	0.4%

Value	Count	Frequency (%)
84606.62	1	0.4%
83861.74	1	0.4%
83824.6	1	0.4%
83785.09	1	0.4%
83730.04	2	0.7%
83664.33	1	0.4%
83635.36	1	0.4%
83607.45	1	0.4%
83595.84	1	0.4%
83588.42	1	0.4%

Y
Real number (ℝ)

High correlation

Distinct	266
Distinct (%)	94.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	455567.41

Minimum	452079.34
Maximum	459310.66
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	2.3 KiB

Quantile statistics

Minimum	452079.34
5-th percentile	453144.78
Q1	454497.7
median	455316.93
Q3	456354.29
95-th percentile	458696.77
Maximum	459310.66
Range	7231.32
Interquartile range (IQR)	1856.5875

Descriptive statistics

Standard deviation	1591.056
Coefficient of variation (CV)	0.003492471
Kurtosis	-0.25335894
Mean	455567.41
Median Absolute Deviation (MAD)	930.895
Skewness	0.53248686
Sum	1.2847001 × 10⁸
Variance	2531459.1
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
454867.71	3	1.1%
456309.77	2	0.7%
455615.79	2	0.7%
452769.66	2	0.7%
454603.11	2	0.7%
456012.21	2	0.7%
458120.33	2	0.7%
455714.26	2	0.7%
456045.86	2	0.7%
456350.46	2	0.7%
Other values (256)	261	92.6%

Value	Count	Frequency (%)
452079.34	1	0.4%
452528.59	1	0.4%
452569.13	1	0.4%
452571.82	1	0.4%
452645.79	1	0.4%
452769.66	2	0.7%
452810.9	1	0.4%
452921.82	1	0.4%
452965.09	1	0.4%
452993.61	1	0.4%

Value	Count	Frequency (%)
459310.66	1	0.4%
459111.31	1	0.4%
459098.07	1	0.4%
459082.28	1	0.4%
458822.44	1	0.4%
458807.02	1	0.4%
458800.08	1	0.4%
458766.55	1	0.4%
458764.13	1	0.4%
458760.72	1	0.4%

LONG
Real number (ℝ)

High correlation

Distinct	268
Distinct (%)	95.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4.3049037

Minimum	4.2287099
Maximum	4.3597774
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	2.3 KiB

Quantile statistics

Minimum	4.2287099
5-th percentile	4.2595713
Q1	4.2795574
median	4.3108716
Q3	4.3282401
95-th percentile	4.3446469
Maximum	4.3597774
Range	0.1310675
Interquartile range (IQR)	0.048682752

Descriptive statistics

Standard deviation	0.028366397
Coefficient of variation (CV)	0.006589322
Kurtosis	-0.9827247
Mean	4.3049037
Median Absolute Deviation (MAD)	0.0237959
Skewness	-0.25518508
Sum	1213.9828
Variance	0.00080465245
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
4.261832002	3	1.1%
4.313861111	2	0.7%
4.329443884	2	0.7%
4.342568152	2	0.7%
4.279529245	2	0.7%
4.347372611	2	0.7%
4.34476678	2	0.7%
4.273599395	2	0.7%
4.279641847	2	0.7%
4.266380903	2	0.7%
Other values (258)	261	92.6%

Value	Count	Frequency (%)
4.22870989	1	0.4%
4.229261542	1	0.4%
4.238233713	1	0.4%
4.248058164	1	0.4%
4.248384056	1	0.4%
4.250841945	1	0.4%
4.253214733	1	0.4%
4.254301201	1	0.4%
4.256375721	1	0.4%
4.256998791	1	0.4%

Value	Count	Frequency (%)
4.359777389	1	0.4%
4.349287516	1	0.4%
4.348772574	1	0.4%
4.34819176	1	0.4%
4.347372611	2	0.7%
4.346348946	1	0.4%
4.346039505	1	0.4%
4.345601984	1	0.4%
4.345437845	1	0.4%
4.345323905	1	0.4%

LAT
Real number (ℝ)

High correlation

Distinct	268
Distinct (%)	95.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	52.083396

Minimum	52.051414
Maximum	52.116881
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	2.3 KiB

Quantile statistics

Minimum	52.051414
5-th percentile	52.061788
Q1	52.073888
median	52.081468
Q3	52.090555
95-th percentile	52.111407
Maximum	52.116881
Range	0.065466468
Interquartile range (IQR)	0.016667942

Descriptive statistics

Standard deviation	0.014273121
Coefficient of variation (CV)	0.00027404359
Kurtosis	-0.26606068
Mean	52.083396
Median Absolute Deviation (MAD)	0.0083871797
Skewness	0.5172674
Sum	14687.518
Variance	0.00020372198
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
52.07670649	3	1.1%
52.07481363	2	0.7%
52.05847415	2	0.7%
52.09041231	2	0.7%
52.10611127	2	0.7%
52.08510194	2	0.7%
52.08805957	2	0.7%
52.09014645	2	0.7%
52.09595505	2	0.7%
52.09263189	2	0.7%
Other values (258)	261	92.6%

Value	Count	Frequency (%)
52.05141435	1	0.4%
52.05603091	1	0.4%
52.05659596	1	0.4%
52.05663445	1	0.4%
52.05735349	1	0.4%
52.05847415	2	0.7%
52.0588117	1	0.4%
52.05937609	1	0.4%
52.05993263	1	0.4%
52.06023487	1	0.4%

Value	Count	Frequency (%)
52.11688082	1	0.4%
52.11508628	1	0.4%
52.11497682	1	0.4%
52.11482933	1	0.4%
52.11251706	1	0.4%
52.11237162	1	0.4%
52.11230586	1	0.4%
52.11201806	1	0.4%
52.11199593	1	0.4%
52.11199371	1	0.4%

Interactions

Correlations

	DIRECTION	DISTRICT	DISTRICT.1	ID	LAT	LONG	NEIGHBOURHOOD	NUMBER	SEQ NUMBER	STATUS	X	Y	YEAR_PLACEMENT
DIRECTION	1.000	0.167	0.039	0.705	0.107	0.146	0.496	0.000	0.632	1.000	0.143	0.081	0.378
DISTRICT	0.167	1.000	0.959	0.249	0.544	0.634	0.904	0.000	0.148	0.229	0.629	0.535	0.168
DISTRICT.1	0.039	0.959	1.000	1.000	0.652	0.675	0.943	0.000	0.269	0.050	0.662	0.656	0.233
ID	0.705	0.249	1.000	1.000	-0.184	0.031	1.000	-0.003	0.998	0.000	0.032	-0.183	0.694
LAT	0.107	0.544	0.652	-0.184	1.000	-0.024	0.682	0.055	-0.183	0.407	-0.017	1.000	-0.151
LONG	0.146	0.634	0.675	0.031	-0.024	1.000	0.763	0.039	0.030	0.000	1.000	-0.040	0.014
NEIGHBOURHOOD	0.496	0.904	0.943	1.000	0.682	0.763	1.000	0.000	0.309	0.000	0.752	0.673	0.269
NUMBER	0.000	0.000	0.000	-0.003	0.055	0.039	0.000	1.000	-0.004	0.000	0.040	0.053	0.060
SEQ NUMBER	0.632	0.148	0.269	0.998	-0.183	0.030	0.309	-0.004	1.000	0.016	0.030	-0.182	0.696
STATUS	1.000	0.229	0.050	0.000	0.407	0.000	0.000	0.000	0.016	1.000	0.000	0.329	0.000
X	0.143	0.629	0.662	0.032	-0.017	1.000	0.752	0.040	0.030	0.000	1.000	-0.033	0.014
Y	0.081	0.535	0.656	-0.183	1.000	-0.040	0.673	0.053	-0.182	0.329	-0.033	1.000	-0.151
YEAR_PLACEMENT	0.378	0.168	0.233	0.694	-0.151	0.014	0.269	0.060	0.696	0.000	0.014	-0.151	1.000

Missing values

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

	ID	MANAGEMENT AREA	SEQ NUMBER	HOUSE NUMBER	DESCRIPTION	PHOTO FILE	TEXT_ON_THE_STONE	NAMES_OF THOSE INVOLVED	NUMBER	YEAR_PLACEMENT	BWT_NUMMER	DIRECTION	DATE_ACQUISITION	NEIGHBOURHOOD	DISTRICT	STATUS	LASTUPDATE	DISTRICT.1	X	Y	LONG	LAT
0	6009918	Juliana van Stolberglaan	88	352	NaN	https://denhaag.gisib.nl/fotos/Stolpersteine/Foto/88.jpg	NaN	Benjamin van Dantzig (joodsmonument.nl)	2	2013.0	BWT-01373GGB12	Haaks	2023-11-01	Bezuidenhout-oost	Haagse Hout	Actief	2024-05-15 11:56:37	Bezuidenhout	83588.42	455632.09	4.345324	52.084345
1	6009919	Juliana van Stolberglaan	89	368	NaN	https://denhaag.gisib.nl/fotos/Stolpersteine/Foto/89.jpg	NaN	Gerson de Levie (joodsmonument.nl)	1	2013.0	BWT-00109GGB13	Haaks	2023-11-01	Bezuidenhout-oost	Haagse Hout	Actief	2024-05-15 11:56:37	Bezuidenhout	83607.45	455629.80	4.345602	52.084327
2	6009920	Keizerstraat	90	65	NaN	https://denhaag.gisib.nl/fotos/Stolpersteine/Foto/90.jpg	NaN	Frederik Alter (joodsmonument.nl)	3	2018.0	BWT-00185GGB17	Haaks	2023-11-01	Scheveningen Badplaats	Scheveningen	Actief	2024-05-15 11:56:37	Scheveningen	78711.53	458131.40	4.273624	52.106155
3	6009921	Kornoeljestraat	91	4	NaN	https://denhaag.gisib.nl/fotos/Stolpersteine/Foto/91.jpg	NaN	Judica Mozes (joodsmonument.nl)	1	2022.0	BWT-00274GGB20	Haaks	2023-11-01	Eykenduinen	Segbroek	Actief	2024-05-15 11:56:37	Vruchtenbuurt	77695.36	453555.91	4.259831	52.064896
4	6009922	Kortrijksestraat	92	41	NaN	https://denhaag.gisib.nl/fotos/Stolpersteine/Foto/92.jpg	NaN	Hans Paradies (joodsmonument.nl)	4	2022.0	BWT-00299GGB19	Haaks	2023-11-01	Belgisch Park	Scheveningen	Actief	2024-05-15 11:56:37	Belgisch Park	80212.48	458548.98	4.295438	52.110113
5	6009923	Kraijenhoffstraat	93	52-54	NaN	https://denhaag.gisib.nl/fotos/Stolpersteine/Foto/93.jpg	NaN	Elias Viskoper (joodsmonument.nl)	2	2023.0	BWT-01284GGB22	Haaks	2023-11-01	Huygenspark	Centrum	Actief	2024-05-15 11:56:37	Stationsbuurt	81844.70	454143.36	4.320207	52.070739
6	6009924	Laakkade	94	94	NaN	https://denhaag.gisib.nl/fotos/Stolpersteine/Foto/94.jpg	NaN	Arthur Levin (joodsmonument.nl)	4	2023.0	BWT-00001GGB22	Haaks	2023-11-01	Laakkwartier-oost	Laak	Actief	2024-05-15 11:56:37	Laakkwartier en Spoorwijk	82410.12	453591.43	4.328570	52.065853
7	6009925	Laan	95	20 /26	NaN	https://denhaag.gisib.nl/fotos/Stolpersteine/Foto/95.jpg	NaN	Adolf Mendels (joodsmonument.nl)	3	2018.0	NaN	Haaks	2023-11-01	Kortenbos	Centrum	Actief	2024-05-15 11:56:37	Centrum	80941.70	454689.19	4.306920	52.075524
8	6009926	Laan Copes van Cattenburch	96	129	NaN	https://denhaag.gisib.nl/fotos/Stolpersteine/Foto/96.jpg	NaN	Herman Salomonson (joodsmonument.nl)	2	2019.0	BWT-00732GGB18	Haaks	2023-11-01	Archipelbuurt	Centrum	Actief	2024-05-15 11:56:37	Archipelbuurt	81028.85	456490.18	4.307800	52.091721
9	6009870	De Vriesstraat	39	25	NaN	https://denhaag.gisib.nl/fotos/Stolpersteine/Foto/39.jpg	NaN	Andries Jonas van Rood (joodsmonument.nl)	2	2022.0	BWT-00890GGB20	Haaks	2023-11-01	Bezuidenhout-oost	Haagse Hout	Actief	2024-05-15 11:56:37	Bezuidenhout	83477.34	455506.66	4.343730	52.083204

	ID	MANAGEMENT AREA	SEQ NUMBER	HOUSE NUMBER	DESCRIPTION	PHOTO FILE	TEXT_ON_THE_STONE	NAMES_OF THOSE INVOLVED	NUMBER	YEAR_PLACEMENT	BWT_NUMMER	DIRECTION	DATE_ACQUISITION	NEIGHBOURHOOD	DISTRICT	STATUS	LASTUPDATE	DISTRICT.1	X	Y	LONG	LAT
272	6905007	Carel Reinierszkade	276	259	NaN	https://denhaag.gisib.nl/fotos/Stolpersteine/Foto/276.jpg	NaN	Nathan de Wit	2	2025.0	BWT-00170GGB24	haaks	2025-04-24	NaN	Haagse Hout	Actief	2025-04-28 14:37:39	NaN	83861.74	455744.45	4.349288	52.085390
273	6905008	Van Alkemadelaan	277	43	NaN	https://denhaag.gisib.nl/fotos/Stolpersteine/Foto/277.jpg	NaN	Liza Kan-van Zwanenberg	2	2025.0	BWT-00168GGB24	haaks	2025-04-24	NaN	Haagse Hout	Actief	2025-04-28 14:37:07	NaN	82471.40	456752.72	4.328791	52.094271
274	6905009	Van Heutszstraat	278	96	NaN	https://denhaag.gisib.nl/fotos/Stolpersteine/Foto/278.jpg	NaN	Josef Barchasch	5	2025.0	BWT-02175GGB23	haaks	2025-04-24	NaN	Haagse Hout	Actief	2025-04-28 14:34:00	NaN	83785.09	455637.17	4.348192	52.084416
275	6905010	Prinses Marijkestraat	279	385	NaN	https://denhaag.gisib.nl/fotos/Stolpersteine/Foto/279.jpg	NaN	Luc Sassenus	2	2025.0	BWT-01262GGB24	haaks	2025-04-24	NaN	Haagse Hout	Actief	2025-04-28 14:32:28	NaN	82979.13	455221.02	4.336523	52.080572
276	6905011	Van Soutelandelaan	280	45	NaN	https://denhaag.gisib.nl/fotos/Stolpersteine/Foto/280.jpg	NaN	Simon Tobias van Blankenstein	1	2025.0	BWT-01113GGB23	haaks	2025-04-24	NaN	Haagse Hout	Actief	2025-04-28 14:29:29	NaN	81822.44	457473.33	4.319168	52.100661
277	6905012	De Mildestraat	281	11	NaN	https://denhaag.gisib.nl/fotos/Stolpersteine/Foto/281.jpg	NaN	David van Hessen	4	2025.0	BWT-02823GGB23	haaks	2025-04-24	NaN	Haagse Hout	Actief	2025-04-28 14:28:43	NaN	81967.72	457101.97	4.321367	52.097343
278	6905013	Spui	282	191	NaN	https://denhaag.gisib.nl/fotos/Stolpersteine/Foto/282.jpg	NaN	Leonardus Josephus Maria 'Leo'Coppes	2	2025.0	BWT-01048GGB24	haaks	2025-04-24	NaN	Centrum	Actief	2025-04-28 14:27:51	NaN	81645.34	454761.19	4.317167	52.076265
279	6905014	Paviljoensgracht	283	37	NaN	https://denhaag.gisib.nl/fotos/Stolpersteine/Foto/283.jpg	NaN	Benjamin Mozes Levits	2	2025.0	BWT-01272GGB20	haaks	2025-04-24	NaN	Centrum	Actief	2025-04-28 14:26:50	NaN	81323.30	454497.61	4.312527	52.073853
280	6905015	Stille Veerkade	284	1	NaN	https://denhaag.gisib.nl/fotos/Stolpersteine/Foto/284.jpg	NaN	Leon Tokkie	3	2025.0	BWT-02177GG23	haaks	2025-04-24	NaN	Centrum	Actief	2025-04-28 14:23:33	NaN	81470.97	454560.93	4.314667	52.074442
281	6905016	Van Limburg Stirumstraat	285	6	NaN	https://denhaag.gisib.nl/fotos/Stolpersteine/Foto/285.jpg	NaN	Ester Bobbe	1	2025.0	BWT-01292GGB24	haaks	2025-04-24	NaN	Centrum	Actief	2025-04-28 14:21:44	NaN	81816.55	454279.76	4.319767	52.071961

Overview

Variables

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)